Mobmap as a visualization platform for spatio-temporal data About - - PowerPoint PPT Presentation

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Mobmap as a visualization platform for spatio-temporal data About - - PowerPoint PPT Presentation

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FOSS4G 2015 16 Sep 2015 Hiroaki Sengoku, Ph.D Satoshi Ueyama Mobmap as a visualization platform for spatio-temporal data About microbase inc. microbase Inc. is the company which creates micro demographic data in Japan. This company has

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FOSS4G 2015 16 Sep 2015

Hiroaki Sengoku, Ph.D Satoshi Ueyama

Mobmap as a visualization platform for spatio-temporal data

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About microbase inc.

microbase Inc. is the company which creates micro demographic data in Japan. This company has created simulated urban data such as people flow or people life style using

  • pen data. The member of microbase Inc. aim to create micro demographic data all over

the world and simulation platform such as “Sim City” using these data.

Real-estate values Building Age

Future Population Micro Census Personal LifeStyle

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Team mobmap

三겹살、삼겹살、맛있다~!!

Hiro Ritsu Satoshi

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ADENDA

SESSION 1 INTRODUCTION ・Mobmap ・Hands-on data SESSION 2 ANALYSIS ・Basic operation ・Attribute query ・Spatial query ・Other functions SESSION 3 PRACTICE ・Practice ・Summary

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What’s mobmap?

1500,1,1,1998/10/01 06:00:00,139.9249985549,35.7318406842,2,7,4110309,14,97,33,,97 3700,1,1,1998/10/01 06:00:00,139.9123053021,35.753511987,1,10,4112107,10,97,33,,97 7300,1,1,1998/10/01 06:00:00,139.9132597066,35.7134959947,1,7,4114009,8 ,97,40,,97 5500,1,1,1998/10/01 06:00:00,139.9374260851,35.7387718937,2,12,4113004,14,97,32,,97 9500,1,1,1998/10/01 06:00:00,139.9268670539,35.6868715236,1,2,4115011,12,97,26,,97 9700,1,1,1998/10/01 06:00:00,139.9238668934,35.6892555155,2,6,4115016,14,97,32,,97 11400,1,1,1998/10/01 06:00:00,139.9293917865,35.6808909812,1,6,4115107,9 ,97,36,,97 11800,1,1,1998/10/01 06:00:00,139.9077829215,35.6792209637,2,6,4115202,14,97,21,,97 10100,1,1,1998/10/01 06:00:00,139.9298447577,35.684551261,1,1,4115014,12,97,26,,97

  • Tool for visualising and analyzing time-series data (ex.GPS log)
  • Show animation for time-series change on Google Maps
  • supports Windows, Mac, Linux
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Install

  • Install Google Chrome (if you don't install it )
  • Search "mobmap2" in Chrome Web store
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Application start

  • Open a new tab of Google Chrome
  • Open Google Chrome launcher
  • Open Mobmap
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What’s mobmap?

Input Output

time-series data(CSV) Route data(KML) Movie(MP4) Mesh data(CSV) Polygon data(KML) time-series data(CSV)

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Why Mobmap?

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When visualising time-series data,

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Export so many many PNG imageries and create GIF animation.

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Population aging rate 2010 - 2035 Kesenuma which has big earthquake in 2011

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In case of moving objects data like GPS data,

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People Flow 2008 in Tokyo

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Take so much time and have to remake again and again every time a new attribute is added.

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SLIDE 18 2013–11–23 16:18:21 35.979504,139.827072

Visualising Moving Data, Interactively

Using Mobmap for Google Chrome

Satoshi Ueyama

EDITORIA, The University of Tokyo

http://shiba.iis.u-tokyo.ac.jp/member/ueyama/mm/

Mobmap project started in mid 2012.

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What’s mobmap?

1500,1,1,1998/10/01 06:00:00,139.9249985549,35.7318406842,2,7,4110309,14,97,33,,97 3700,1,1,1998/10/01 06:00:00,139.9123053021,35.753511987,1,10,4112107,10,97,33,,97 7300,1,1,1998/10/01 06:00:00,139.9132597066,35.7134959947,1,7,4114009,8 ,97,40,,97 5500,1,1,1998/10/01 06:00:00,139.9374260851,35.7387718937,2,12,4113004,14,97,32,,97 9500,1,1,1998/10/01 06:00:00,139.9268670539,35.6868715236,1,2,4115011,12,97,26,,97 9700,1,1,1998/10/01 06:00:00,139.9238668934,35.6892555155,2,6,4115016,14,97,32,,97 11400,1,1,1998/10/01 06:00:00,139.9293917865,35.6808909812,1,6,4115107,9 ,97,36,,97 11800,1,1,1998/10/01 06:00:00,139.9077829215,35.6792209637,2,6,4115202,14,97,21,,97 10100,1,1,1998/10/01 06:00:00,139.9298447577,35.684551261,1,1,4115014,12,97,26,,97

  • Tool for visualising and analyzing time-series data (ex.GPS log)
  • Show animation for time-series change on Google Maps
  • Windows, Mac, Linux supports
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Play Mobmap 1

There are "Play", "Stop", "forwarding" button like a movies player. Each object begins to move when the “Play” button is clicked.

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Play Mobmap 2

Following four attributes are necessary for using Mobmap. "id" (user ID), "date" (time information), "lat", "lon"

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  • Where and How do people come

from?

  • How many people go path a road ?

Our theme

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Commuter train

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Commuter train

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Path Visualisation

Change ”Dark” color Check

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Attribute query

In the case of plural conditions category=4 || category = 8 OR sentense（or） AND sentense（and） category<4 && category > 1

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About spatial query

Deselecting select of the polygon select of the rectangle select of the line gate

Choose a movement object from the select button

  • f the upper part menu
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Export

Mobmap can export trajectory data as well. Link data also can be exported as mL format.

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Animation export

By the default setting, output a share for ten minutes in animation reproduction one second. eg: In the case of 15sec, it is 150min

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Visualise abnormal event 1

  • With Person Trip data, Mesh data becomes like this
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Visualise abnormal event 2

You can check population volume in time series and an abnormal movement easily.

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Other visualisation

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Population aging rate 2016

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Population aging rate 2025

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You can import your time-series data which has time stamp.

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Ex) GPS data tracked by My Tracks (Android App)

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Ex) GPS data tracked by My Tracks (Android App)

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You can import your time-series data which has time stamp.

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Practice data① Simulated People Flow data

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Practice data① Simulated People Flow data

Simulated People Flow data is made from geo- tagged Tweet data(presented by Nightlei Co.,

Ltd.) I'm at Ramen Jiro Meguro shop (Meguro-ku) 139.707142710686 35.6341373645078 ex)

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Practice data① Simulated People Flow data

This data is created as following estimation and interpolation methods from geo-tagged Tweet data. ・Home estimate ・Stay time estimation ・Path interpolation

Home place is defined as a city and district which users have frequently checked in on morning and a holiday. Finally, the place is determined at random in the city. Virtual stay time is set in advance per category

  • f the check-in (movie, amusement, etc)

Paths are interpolated based on the places between check-in places using road data (cooperation: Hiroshi kanasugi, People Flow Team at Tokyo University CSIS)

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Raw geo tagged tweet data on a map (without the interpolations)

Step1

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Home place and stay time are given to geo tagged tweet data according to the check-in on map (night-time).

Step2

Virtual stay time per about 250 check-in place category

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Paths are interpolated (only in the road) for creating Simulated People Flow data per 5 min using INFORMATION PLATFORM FOR PEOPLE FLOW ANALYSIS by the university of Tokyo CSIS.

Step3

"STUDY OF INFORMATION PLATFORM FOR PEOPLE FLOW ANALYSIS IN URBAN AREA", the 36th Japan Society of Civil Engineering information use technology symposium, pp.111-114, 2011 about Yoshihide Sekimoto, your Satoshi Usui Hiroshi kanasugi, Yusuke Masuda,

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If you want to know more, check our twitter!

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Summary

Using Mobmap, We learned the method to visualise and analyze GIS data with the time-series data. This exercise provide for simulated people flow data as sample data. Also, you can handle your own data as well.

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Request of the questionnaire

http://goo.gl/bwgCcl

Please answer following questionnaire to improve Mobmap and hands on in future.

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Thanks

For creating data and this exercise, Hiroshi Kanasugi helped us to interpolate and create the Simulated People Flow data. The Simulated data is made from the geo tagged tweet data by Ishikawa, Nightlei Co., Ltd.. We appreciate them.